For example, a condition attached to the check of DataDuplicates may return the status fail if there are more than 5% duplicate samples in the training set. This may be valid if the duplicates are there on purpose (e.g., as a result of intentional oversampling, or because the dataset's nature has identical-looking samples), but if this is a hidden issue that is not expected to occur, it may be an indicator for a problem in the data pipeline that needs to be addressed [1]}.
